Leading overseas AI companies such as OpenAI have collectively proposed slowing the pace of iteration of frontier large models and temporarily shelving some expansion plans, while Chinese regulators have simultaneously tightened IPO review standards for embodied intelligence companies. The article argues that slowing down does not mean stagnation, and tightening does not mean hitting the brakes; the purpose of these moves is to steer AI from wild growth toward sustainable development and direct resources toward service innovation and scenario applications.
Leading overseas AI companies such as OpenAI have collectively proposed slowing the pace of iteration of frontier large models and temporarily shelving some expansion plans, while Chinese regulators have simultaneously tightened IPO review standards for embodied intelligence companies. The article argues that slowing down does not mean stagnation, and tightening does not mean hitting the brakes; the purpose of these moves is to steer AI from wild growth toward sustainable development and direct
At Vogue World Milan, during the "Intelligent Age" segment, humanoid robots from the Chinese manufacturer Unitree took to the runway. They wore no clothing and waved and interacted to the song "L'Amour Toujours," and the awkward expression of Valentino creative director Alessandro Michele quickly went viral. The show was partly sponsored by Meta Glasses, with additional support from OpenAI, and the next stop for Vogue World will be San Francisco. Critics argue that the robot performance has nothing to do with fashion and does nothing to ease people's concerns about AI replacing jobs.
se manufacturer Unitree took to the runway. They wore no clothing and waved and interacted to the song "L'Amour Toujours," and the awkward expression of Valentino creative director Alessandro Michele quickly went viral. The show was partly sponsored by Meta Glasses, with additional support from OpenAI, and the next stop for Vogue World will be San Francisco. Critics argue that the robot performance has nothing to do with fashion and does nothing to ease people's concerns about AI replacing jobs.
In episode 19 of the Interconnects podcast, Nathan Lambert and JS Denain, head of the insights team at Epoch AI, discuss RSI, the China-US model gap, and uneven capabilities. JS believes the evidence in public blog posts from OpenAI and Anthropic is insufficient to prove that AI is about to self-accelerate, but the 2x monthly growth in Codex research spending mentioned in OpenAI's blog post is worth noting; both hold highly uncertain views on where AI is heading.
The Interconnects author states that he still does not buy into true recursive self-improvement (RSI), and leans more toward the "lossy self-improvement" view he has proposed: the research that can be automated is too narrow, the returns from parallel AI agents diminish, and resource bottlenecks and political factors constrain the building of strong LLMs. He points out that current AI safety concerns stem more from the cultural anxiety brought about by the large-scale deployment of agents by frontier labs such as OpenAI and Anthropic, rather than from any publicly disclosed breakthrough.
t (RSI), and leans more toward the "lossy self-improvement" view he has proposed: the research that can be automated is too narrow, the returns from parallel AI agents diminish, and resource bottlenecks and political factors constrain the building of strong LLMs. He points out that current AI safety concerns stem more from the cultural anxiety brought about by the large-scale deployment of agents by frontier labs such as OpenAI and Anthropic, rather than from any publicly disclosed breakthrough.
